Adjusted Coefficients of Determination for Logistic Regression

By J. Liao, Daniel L. McGee. 2003

65 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d7023e9a95e6a617ec9bc725b5ad25919e4848a2

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In Statistics and Probability

1. R. Azen
2. Nicole Traxel
3. Jeff M. Allen
4. Trude Fredriksen
5. Morten Odden
6. P. Wegge
7. Huy Le
8. James M. LeBreton

Citations in the corpus

• Do tigers displace leopards? If so, why? (2010, methodology): “grassland/successional forest), total density of wild ungulates (TT), density of medium-sized ungulates (MD: axis deer, hog deer, wild boar and muntjac) and density of large ungulates (LG: barasingha + nilgai) R(2) is an adjusted coefficient of determination for logistic regression (Liao and McGee 2”
• Using Dominance Analysis to Determine Predictor Importance in Logistic Regression (2009, background): “Three of these measures are based on likelihood ratios and were developed by (among others) McFadden (1974), Nagelkerke (1991), and Estrella (1998).”
• An Additional Measure of Overall Effect Size for Logistic Regression Models (2008, methodology): “for R analogs, and Liao and McGee (2003) proposed adjustment methods for RL and R 2 O.”